code: def get_scoring_data():
      # the dataset was obtained from https://www.kaggle.com/c/GiveMeSomeCredit
  
      # a dataset that will be used as a train and test set during composition
  
      file_path_train = "cases/data/scoring/scoring_train.csv"
      full_path_train = fedot_project_root().joinpath(file_path_train)
  
      # a dataset for a final validation of the composed model
      file_path_test = "cases/data/scoring/scoring_test.csv"
      full_path_test = fedot_project_root().joinpath(file_path_test)
  
      return full_path_train, full_path_test
  
file_path: FEDOT/cases/credit_scoring/credit_scoring_problem.py
imports: import logging
  from sklearn.metrics import roc_auc_score
  from fedot import Fedot
  from fedot.core.data.data import InputData
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.utils import fedot_project_root
  from fedot.core.utils import set_random_seed
label_desc: Use image node_id 3 for calling a global function with example usage: get_scoring_data() and returns: full_path_train,  full_path_test